“…As evident in the state of the art research on climate and skiing relationship, most models, so far [6,13,[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38], have utilized indicators based on weather and climate variables such as snow depth, snow water equivalent, snowfall, snow density, avalanche index, temperature, wind chill, visibility, and cloudiness as the main regressors, whereas other variables such as precipitation (rain, freezing rain, etc.) and wind speed have also been mentioned as important in consumer surveys with winter [49] and summer [50] skiers. Additionally, many studies, especially those based on long-term aggregate data [13,19,21,[24][25][26][27][28]31,37], have attempted to control for changes in economic variables such as income, consumer prices, gas and airfare prices, exchange rates, unemployment rates, and changes in ski tourism supply in question.…”